ReviewPharmaceutics2026
Design and Application of Intelligent Local Anesthetic Nanoformulations.
Review in Pharmaceutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Local analgesia is a prevalent and cost-effective pain management strategy with minimal systemic side effects. At the same time, nanotechnology has been employed to achieve the sustained release of drugs to prolong the duration of local anesthetics (LAs). However, these traditional nanoformulations lack responsiveness and thus cannot achieve precise pain relief through on-demand administration. The emergence of "intelligent" nanosystems with stimulus-response capabilities has opened up new prospects in pain control. This review summarizes recent advancements in the design and application of triggerable LAs nanoformulations that can be activated by external stimuli such as light, ultrasound, or heat. These systems facilitate precise, patient-specific pain management, transforming the clinical approach from long-term suppression to controllable and on-demand relief. Finally, we discussed the current challenges and future prospects. A deeper understanding of this field will facilitate the development of superior analgesic solutions and ultimately improve the treatment outcomes for patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.